According to Sawyer Merritt, Tesla’s new Self-Driving stats page in software version V14.2 introduces a gamification element to Full Self-Driving (FSD) by displaying user-specific driving metrics, motivating drivers to achieve a 100% self-driving percentage (source: @SawyerMerritt, Nov 25, 2025). This AI-driven feature is expected to increase FSD usage rates, offering valuable real-world data for Tesla's machine learning systems and enhancing business opportunities through user engagement. The potential addition of leaderboards could further boost driver participation, making FSD data collection more robust and accelerating development of autonomous driving technology.

According to @ylecun on Twitter, SandboxAQ has released a significant new dataset aimed at advancing AI research and practical enterprise applications (source: @ylecun, June 20, 2025). This dataset is designed to support the development of AI models in security, quantum computing, and data science, offering high-quality, real-world data for training and validation. The release creates new opportunities for AI startups and enterprises to accelerate innovation in machine learning and cybersecurity, especially in areas requiring large-scale, high-integrity datasets (source: SandboxAQ official announcement, June 20, 2025).